Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis

By Zhigao Liu, Yimei Yin, Weidong Liu, Michael Dunford. Scientometrics, 2015

456 citations recorded by the source corpus.

Despite increasing awareness of the need to trace the trajectory of innovation system research, so far little attention has been given to quantitative depiction of the evolution of this fast-moving research field. This paper uses CiteSpace to demonstrate visually intellectual structures and developments. The study uses citation analysis to detect and visualize disciplinary distributions, keyword co-word networks and journal cocitation networks, highly cited references, as well as highly cited authors to identify intellectual turning points, pivotal points and emerging trends, in innovation systems system research from 1975 to 2012.

Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b82a61b6fe1272b6646f5eb9e93a33c32f085c9a

Citations in the corpus

• Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, unknown): “…and Journal of Operations Management had a great contribution on knowledge innovation and development in the field of SCD. Subject category co-occurrence analysis is an effective approach to detect the disciplines involved in the development of a certain knowledge domain (Liu et al. 2015).”